B.TechSemester 62024-25Data Science In IotBCIT601

Data Science In Iot (BCIT601) - AKTU Question Paper 2024-25

B.Tech · Semester 6 · Free PDF Download

This is the official AKTU Data Science In Iot Previous Year Question Paper for B.Tech Semester 6, academic session 2024-25. Published by Dr. A.P.J. Abdul Kalam Technical University (AKTU/UPTU), Lucknow. Free PDF download — no login required.

Course:B.Tech
Semester:Semester 6
Session:2024-25
University:AKTU / UPTU

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Questions Asked in 2024-25

Data Science In Iot (BCIT601) — complete question paper · 70 marks · 3 Hours

Section AAttempt all questions in brief. 02 x 7 = 14
  • a
    Explain IoT Analytics?
  • b
    What isExploratory Data Analytics?
  • c
    Differentiate between Streaming Analytics and Prescriptive Ana lytics?
  • d
    Differentiate between mean and deviation in data analytics?
  • e
    What is the purpose of data pr e-engineering in IoT?
  • f
    Define skewness and mention its significance in data analysis? 3 K 2
  • g
    What is a residual plot? What does it indicate?
Section BAttempt any three of the following: 07 x 3 = 21
  • a
    Analyze the role of IoT analy tics in creating business value?
  • b
    Explain the various data coll ection strategies in IoT environments?
  • c
    Describe different visualization techniques used in model ev aluation and decision-making?
  • d
    Explain the concept and benefits of linked analytical datase ts in IoT systems?
  • e
    Evaluate the benefits of appl ying analytics in IoT-driven ag ricultural systems?
Section CAttempt any one part of the following: 07 x 1 = 07
  • a
    Describe the architecture and components of an IoT analytics system?
  • b
    Compare and contrast streaming a n a l y t i c s a n d t i m e s e r i e s a n alytics with real-world applications?
  • a
    Discuss the significance of descriptive statistics in explor atory data analysis?
  • b
    Explain the calculation and interpretation of skewness and k urtosis in a dataset?
  • a
    Evaluate the effectiveness of box plots, heat maps, and pivo t tables in representing IoT data?
  • b
    Explain multiple regression a nd its application in predictive modeling?
  • a
    Discuss strategies for organi zing and linking IoT datasets f or better analytics performance?
  • b
    How do revenue opportunities i nfluence data organization str ategies in 4 K4 IoT? Discuss with examples?
  • a
    Discuss the integration of IoT and data science in marketing and financial domains?
  • b
    Explain the application of IoT analytics in the healthcare s ector with real- time examples?

Question text is extracted from the official AKTU question paper PDF above. Hindi translations are omitted — every question is printed in English in the original paper. Last verified: 2026-08-23.